In traditional linear regression, we usually scale features before fitting the model. I suppose the same logic is valid for a bayesian GLMs right? Thanks,

To feature scale or not feature scale?

junpenglao January 24, 2018, 4:43pm 2

I say yes. You still have the similar kind of numerical problem even in Bayesian computation if the predictor matrix is badly conditioned. Preprocessing helps.

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To feature scale or not feature scale?

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